| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Waterloo Black Hawks | USHL | 36 | 8 | 5 | 13 | 0.361 | 0.2299 | 0.2515 | 1.0821 | 1.1838 |
| 2013-14 | Waterloo Black Hawks | USHL | 54 | 20 | 41 | 61 | 1.130 | 0.7193 | 0.7532 | 3.3851 | 3.5447 |
| 2015-16 | Waterloo Black Hawks | USHL | 45 | 14 | 30 | 44 | 0.978 | 0.6227 | 0.5925 | 2.9302 | 2.7883 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Northeastern | D1 | HockeyEast | SR | 37 | 11 | 19 | 30 | 0.811 |
| 2014-15 | Maine | D1 | HockeyEast | FR | 25 | 3 | 6 | 9 | 0.360 |
How to read this: NCAAe and D3e factors convert a player's junior PPG into expected NCAA scoring at the D1 or D3 level. Harder conferences → lower projected PPG for the same player. A strong junior player (e.g. USHL 0.90 PPG) will project much higher in NESCAC than Big Ten because the D3 scoring environment is lower-difficulty.
Strength factor: conferences above 1.0 are harder than average; below 1.0 are easier. The formula is: Base NCAAe PPG ÷ Conference Strength = Projected PPG.